id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-314423-6kuefmol	Experton, B.	A Multi-Factor Risk Model for Severe Covid-19 for Vaccine Prioritization and Monitoring Based on a 15 Million Medicare Cohort	2020-11-03		.txt	text/plain	4848	235	42	Methods: We present an integrated multi-factor risk model for severe Covid-19 using de-identified Medicare claims from which we extracted demographic and clinical data for a cohort of 15 million Medicare beneficiaries with 770,000 Covid-19 cases, and socio-economic data at the county and zip code level from the CDC Social Vulnerability Index. The independent variables included in our severe Covid-19 risk models are: beneficiary age, sex, ethnicity, insurance coverage and residential zip code, prior health care utilization (prior hospitalization(s), skilled nursing home admissions, etc.) as a measure for disease severity and frailty, the individual's multiple chronic conditions with in addition to the CMS chronic condition flags, Humetrix compiled diagnostic categories using specific ICD-10 code algorithms, medications grouped by pharmaceutical class, vaccinations before Covid-19 diagnosis, and other variables starting October 1, 2019 (see Supplemental Methods in the Appendix).	./cache/cord-314423-6kuefmol.txt	./txt/cord-314423-6kuefmol.txt